Director - Head of Legal Operations & Innovation
United StatesFull-TimeDirector
Salary not disclosed
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Job Details
- Experience
- 8+ years
- Required Skills
- PythonSQLArtificial IntelligenceRESTful APIsLLM
Requirements
- 8+ years of experience in legal operations, technical program management, automation, or engineering-adjacent roles focused on workflow transformation.
- Proven experience designing and deploying production-grade AI or automation systems used in real operational environments.
- Strong technical skills including API integration, REST APIs, JSON, webhooks, authentication, error handling, and system observability.
- Hands-on experience with scripting or automation tools such as Python, SQL, or equivalent technologies.
- Experience building and deploying LLM-powered applications, including multi-step agentic workflows and tool-calling systems.
- Strong understanding of data governance, privacy, PII handling, and legal or regulatory compliance frameworks.
- Proven ability to translate ambiguous operational needs into scalable, reliable, production-ready systems.
- Experience implementing governance frameworks including risk tiering, audit logging, and human-in-the-loop design.
- Excellent communication skills with the ability to translate technical concepts for legal and executive stakeholders.
Responsibilities
- Define and own the end-to-end strategy and roadmap for AI-driven transformation within the legal function.
- Identify, design, and deploy AI-powered workflows across legal processes including intake, contracting, research, reporting, and advisory work.
- Build production-grade automation systems with embedded governance, auditability, privilege awareness, and human-in-the-loop controls.
- Partner with IT, Legal leadership, and cross-functional stakeholders to implement scalable technical solutions aligned with business needs.
- Establish and enforce risk-tiering frameworks, data governance models, and compliance standards for all legal automation initiatives.
- Design structured, queryable legal data systems that support analytics, AI use cases, and operational transparency.
- Lead change management efforts by training legal teams on AI tools and embedding AI fluency into daily workflows.
- Develop documentation, playbooks, and operational frameworks to ensure scalability and long-term sustainability of legal systems.
- Track, measure, and report the impact of automation initiatives, including efficiency gains, capacity improvements, and turnaround time reductions.
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